The robot software global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.
Robot Software Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.
Market Size –
The robot software market size has grown exponentially in recent years. It will grow from $6.23 billion in 2023 to $8.07 billion in 2024 at a compound annual growth rate (CAGR) of 29.6%. The growth in the historic period can be attributed to growth in industrial automation, increased use of robotics in manufacturing, advances in robot programming languages, adoption of collaborative robots (cobots), demand for robot simulation and visualization software.
The robot software market size is expected to see exponential growth in the next few years. It will grow to $23.05 billion in 2028 at a compound annual growth rate (CAGR) of 30.0%. The growth in the forecast period can be attributed to integration of artificial intelligence in robot software, expansion of robot operating systems (ros), adoption of cloud-based robot software, growth in service robotics and personal robots, increased use of robot software in healthcare and logistics. Major trends in the forecast period include simulation-based robot training, open-source robot software development, integration of augmented reality (ar) in robot software, focus on human-robot collaboration and interface design, real-time monitoring and remote control of robots.
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Scope Of Robot Software Market
The Business Research Company’s reports encompass a wide range of information, including:
1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
2. Drivers: Examination of the key factors propelling market growth.
3. Trends: Identification of emerging trends and patterns shaping the market landscape.
4. Key Segments: Breakdown of the market into its primary segments and their respective performance.
5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
6. Macro Economic Factors: Assessment of broader economic elements impacting the market.
Market Drivers –
The rapid adoption of robot software by small and medium enterprises (SMEs) is expected to propel the growth of the robot software market going forward. Small and medium enterprises refer to a company employing a medium number of people and having a small or intermediate capital investment portfolio. In recent years, many small-to-medium-sized enterprises are increasingly focusing on automation by adopting robots for their business operations to reduce labor and energy costs, which increases the need for robot software to program robots to carry out SME functions. For instance, in 2021, according to the HowToRobot.com study, in the next 3 years, robots will be a feasible option for more than 50% of small and medium enterprises (SMEs). Therefore, the rapid adoption of robot software by SMEs is driving the growth of te robot software market growth.
Market Trends –
Product innovations have emerged as the key trend gaining popularity in the 5G chipset market. The major players in the market are developing innovative products for market growth. For instance, in June 2021, Samsung Electronics, a South Korea-based electronics company, developed 3GPP Rel.16 compliant chipsets, a range of next-generation 5G chipsets that deliver cutting-edge 5G technologies. The new chipsets consist of a second-generation 5G modem System-on-Chip (SoC), a third-generation mmWave Radio Frequency Integrated Circuit (RFIC) chip, and a Digital Front End (DFE)-RFIC integrated chip. These are designed to increase power efficiency, boost performance, and reduce the size of 5G solutions.
The robot software market covered in this report is segmented –
1) By Software Type: Recognition Software, Data Management and Analysis Software, Communication Management Software, Simulation Software, Predictive Maintenance Software
2) By Robot Type: Industrial Robots, Service Robots
3) By Enterprise Size: Large Enterprises, Small and Medium Enterprises
4) By Deployment Model: On-Premises, On-Demand
5) By Industry Vertical: Manufacturing, Healthcare, Aerospace and Defense, Media and Entertainment, Logistics, Other Industry Verticals
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Regional Insights –
North America was the largest region in the robot software market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the robot software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
Key Companies –
Major companies operating in the robot software market report are Asea Brown Boveri, AIBrain Inc, Brain Corp, CloudMinds Technologies Inc, Energid Technologies Corporation, Furhat Robotics, H2O. ai Inc, IBM Corporation, Liquid Robotics Inc, NVIDIA Corporation, Neurala Inc, Clearpath Robotics Inc, Oxbotica, Teradyne Inc, Accenture PLC, RoboGroup T. E. K. Ltd., Fanuc Corp., Universal Robots, Rethink Robotics Inc., Hypertherm Inc., Denso Corporation, Bionic Robotics GmbH, Kawasaki Robotics Inc., Toshiba Machine Co. Ltd., Omron Corporation, Staubli International AG, KUKA Midea Group, Robotnik Automation S. L. L., Intelitek Inc., Yaskawa Electric Corp.
Table of Contents
1. Executive Summary
2. Robot Software Market characterstics
3. Robot Software Market Trends And Strategies
4. Robot Software Market – Macro Economic Scenario
5. Global Robot Software Market Size And Growth
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31. Global Robot Software Market Competitive Benchmarking
32. Global Robot Software Market Competitive Dashboard
33. Key Mergers And Acquisitions In The Robot Software Market
34. Robot Software Market Future Outlook and Potential Analysis
35. Appendix
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